Beyond Passive Consumption

This paper presents an early, exploratory analysis of emerging patterns of interaction with large language models (LLMs). Rather than examining stabilized social effects or generalized user behavior, the analysis focuses on possibilities of use enabled by generative systems and on observable deviations from passive consumption models. Drawing on early aggregate usage data and qualitative observation of interaction affordances, the paper argues that under certain non-guided practices, some users engage with LLMs in ways incompatible with passive consumption of generated outputs. These practices may give rise to localized and contingent forms of cognitive circulation, without implying universal empowerment, democratization, or stable learning outcomes. The contribution is deliberately non-normative and non-prescriptive. It does not claim that such practices are widespread, scalable, or desirable, but suggests that they are legible phenomena worthy of attention prior to the consolidation of regulatory or institutional frameworks.